从该blog开始,逐步介绍DPM + Latent SVM。关于OpenCV下DPM+Latent SVM简单介绍参考上一篇博文:OpenCV Latent SVM Discriminatively Trained Part Based Models for Object Detection
以Cat.xml(opencv安装目录下sample/c内)为例
<Model>
<!-- Number of components -->
<NumComponents>2</NumComponents>
<!-- Number of features -->
<P>31</P>
<!-- Score threshold -->
<ScoreThreshold>-1.0028649999999999</ScoreThreshold>
<Component>
<!-- Root filterdescription -->
<RootFilter>
<!-- Dimensions-->
<sizeX>5</sizeX>
<sizeY>9</sizeY>
<!-- Weights(binary representation) -->
<Weights>
&

本文深入解析OpenCV中用于对象检测的Latent SVM模型文件XML,以Cat.xml为例,详细介绍了Model、Component、RootFilter、PartFilters及PartFilter的结构和参数,包括尺寸、权重、位移和形变模型计算等关键信息。
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